DocumentCode :
2352648
Title :
Bus Trip Planning Service Based on Real Time Data
Author :
Liu, Jiashun ; Yuan, Yu ; Li, Feng ; Ding, Wei
Author_Institution :
IBM Res. - China, Beijing, China
fYear :
2011
fDate :
March 29 2011-April 2 2011
Firstpage :
530
Lastpage :
539
Abstract :
Public transportation is regarded as one of the most efficient means to confront the explosively growing city traffic problems such as congestion and pollution. However, a major obstacle for public transportation to be more adopted by citizens is its generally poor user experience. This paper proposes a system of bus trip planning service, which can help public transportation users choose the most appropriate bus lines and transfers based on real time and predicted traffic data. Because of the large scale of the data size, a two-step combination of K-Transfer and Multi-Objective algorithms is used to optimize the system response time. Experimental results on real transportation networks of large cities prove that the system is efficient and practical.
Keywords :
town and country planning; traffic engineering computing; transportation; bus lines; bus transfers; bus trip planning service; k-transfer; multiobjective algorithms; public transportation; Algorithm design and analysis; Database systems; Legged locomotion; Planning; Real time systems; Search problems; Transportation; bus trip planning service; smarter traffic; transportation network; transportation planning system; web service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SRII Global Conference (SRII), 2011 Annual
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-415-2
Electronic_ISBN :
978-0-7695-4371-0
Type :
conf
DOI :
10.1109/SRII.2011.61
Filename :
5958130
Link To Document :
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